Georgia vs Sierra Leone: Standardised Precipitation-Evapotranspiration Index
Standardised Precipitation-Evapotranspiration Index over time
- Georgia
- Sierra Leone
How they compare
Sierra Leone currently reports 0.836 against 0.7379 in Georgia, a difference of 0.0981.
That makes Sierra Leone's figure about 1.1 times Georgia's.
The two have swapped places 24 times across 64 shared years of data; in 1960 it was Sierra Leone ahead.
Georgia ranks 20th and Sierra Leone ranks 18th of 188 countries.
Across the 7 decades both report, Georgia averaged higher in 5 and Sierra Leone in 2.
Head to head by decade
| Decade | Georgia | Sierra Leone | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 0.0174 | 0.7209 | 0.7035 | Sierra Leone |
| 1970s | -0.0068 | -0.5689 | 0.5621 | Georgia |
| 1980s | 0.3294 | -1.27 | 1.6 | Georgia |
| 1990s | -0.0488 | -0.7361 | 0.6873 | Georgia |
| 2000s | 0.5349 | -0.4989 | 1.03 | Georgia |
| 2010s | -0.2643 | -0.5009 | 0.2367 | Georgia |
| 2020s | -0.5389 | -0.0575 | 0.4815 | Sierra Leone |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher standardised precipitation-evapotranspiration index, Georgia or Sierra Leone?
- Sierra Leone, at 0.836 against 0.7379 in Georgia as of 2023.
- What is the difference in standardised precipitation-evapotranspiration index between Georgia and Sierra Leone?
- 0.0981, with Sierra Leone ahead.
- How many years of comparable data are there for Georgia and Sierra Leone?
- 64 years are reported by both, from 1960 to 2023.
- How do Georgia and Sierra Leone rank globally for standardised precipitation-evapotranspiration index?
- Georgia ranks 20th and Sierra Leone ranks 18th of 188 countries.
- Where does this data come from?
- Global SPEI database (SPEIbase). https://spei.csic.es/database.html, published as Standardised Precipitation-Evapotranspiration Index. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The SPEI fulfills the requirements of a drought index since its multi-scalar character enables it to be used by different scientific disciplines to detect, monitor, and analyze droughts. Like the sc-PDSI and the SPI, the SPEI can measure drought severity according to its intensity and duration, and can identify the onset and end of drought episodes. The SPEI allows comparison of drought severity through time and space, since it can be calculated over a wide range of climates, as can the SPI.